Echoes the destination for the complete errors in the request if set.
↳ model_status
string
The trained model status. Possible values are: * *bad-data: The training data quality is bad. * *no-improvement: Tuning didn't improve performance. Won't deploy. * *in-progress: Model training job creation is in progress. * *training: Model is actively training. * *evaluating: The model is evaluating trained metrics. * *indexing: The model trained metrics are indexing. * *ready: The model is ready for serving.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Google Cloud Discovery Engine V1 Client - Class TrainCustomModelResponse (1.7.0)\n\nVersion latestkeyboard_arrow_down\n\n- [1.7.0 (latest)](/php/docs/reference/cloud-discoveryengine/latest/V1.TrainCustomModelResponse)\n- [1.6.1](/php/docs/reference/cloud-discoveryengine/1.6.1/V1.TrainCustomModelResponse)\n- [1.5.1](/php/docs/reference/cloud-discoveryengine/1.5.1/V1.TrainCustomModelResponse)\n- [1.4.0](/php/docs/reference/cloud-discoveryengine/1.4.0/V1.TrainCustomModelResponse)\n- [1.3.3](/php/docs/reference/cloud-discoveryengine/1.3.3/V1.TrainCustomModelResponse)\n- [1.2.0](/php/docs/reference/cloud-discoveryengine/1.2.0/V1.TrainCustomModelResponse)\n- [1.1.0](/php/docs/reference/cloud-discoveryengine/1.1.0/V1.TrainCustomModelResponse)\n- [1.0.0](/php/docs/reference/cloud-discoveryengine/1.0.0/V1.TrainCustomModelResponse)\n- [0.11.3](/php/docs/reference/cloud-discoveryengine/0.11.3/V1.TrainCustomModelResponse)\n- [0.8.0](/php/docs/reference/cloud-discoveryengine/0.8.0/V1.TrainCustomModelResponse)\n- [0.7.1](/php/docs/reference/cloud-discoveryengine/0.7.1/V1.TrainCustomModelResponse)\n- [0.6.0](/php/docs/reference/cloud-discoveryengine/0.6.0/V1.TrainCustomModelResponse)\n- [0.5.0](/php/docs/reference/cloud-discoveryengine/0.5.0/V1.TrainCustomModelResponse)\n- [0.4.0](/php/docs/reference/cloud-discoveryengine/0.4.0/V1.TrainCustomModelResponse)\n- [0.3.0](/php/docs/reference/cloud-discoveryengine/0.3.0/V1.TrainCustomModelResponse)\n- [0.2.0](/php/docs/reference/cloud-discoveryengine/0.2.0/V1.TrainCustomModelResponse)\n- [0.1.1](/php/docs/reference/cloud-discoveryengine/0.1.1/V1.TrainCustomModelResponse) \nReference documentation and code samples for the Google Cloud Discovery Engine V1 Client class TrainCustomModelResponse.\n\nResponse of the\n[TrainCustomModelRequest](/php/docs/reference/cloud-discoveryengine/latest/V1.TrainCustomModelRequest).\n\nThis message is returned by the google.longrunning.Operations.response field.\n\nGenerated from protobuf message `google.cloud.discoveryengine.v1.TrainCustomModelResponse`\n\nNamespace\n---------\n\nGoogle \\\\ Cloud \\\\ DiscoveryEngine \\\\ V1\n\nMethods\n-------\n\n### __construct\n\nConstructor.\n\n### getErrorSamples\n\nA sample of errors encountered while processing the data.\n\n### setErrorSamples\n\nA sample of errors encountered while processing the data.\n\n### getErrorConfig\n\nEchoes the destination for the complete errors in the request if set.\n\n### hasErrorConfig\n\n### clearErrorConfig\n\n### setErrorConfig\n\nEchoes the destination for the complete errors in the request if set.\n\n### getModelStatus\n\nThe trained model status. Possible values are:\n\n- **bad-data**: The training data quality is bad.\n\n\u003c!-- --\u003e\n\n- **no-improvement** : Tuning didn't improve performance. Won't deploy.\n - **in-progress**: Model training job creation is in progress.\n - **training**: Model is actively training.\n - **evaluating**: The model is evaluating trained metrics.\n - **indexing**: The model trained metrics are indexing.\n - **ready**: The model is ready for serving.\n\n### setModelStatus\n\nThe trained model status. Possible values are:\n\n- **bad-data**: The training data quality is bad.\n\n\u003c!-- --\u003e\n\n- **no-improvement** : Tuning didn't improve performance. Won't deploy.\n - **in-progress**: Model training job creation is in progress.\n - **training**: Model is actively training.\n - **evaluating**: The model is evaluating trained metrics.\n - **indexing**: The model trained metrics are indexing.\n - **ready**: The model is ready for serving.\n\n### getMetrics\n\nThe metrics of the trained model.\n\n### setMetrics\n\nThe metrics of the trained model.\n\n### getModelName\n\nFully qualified name of the CustomTuningModel.\n\n### setModelName\n\nFully qualified name of the CustomTuningModel."]]
